{"id":1721566,"url":"https://alion.io/job/unitedhealth-group-principal-data-engineer-4","title":"Principal Data Engineer","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":124,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":62000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Feature Store","optional":true},{"name":"Great Expectations","optional":true},{"name":"Least Privilege","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-11-02T07:24:40Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.\nFunctions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function.\nPrimary Responsibilities:\nDesign, develop, and maintain scalable data pipelines and data platforms supporting analytics, machine learning, and AI use cases\nBuild and optimize ingestion frameworks for large-scale structured and unstructured data, including streaming and event-driven sources\nPartner with cross-functional stakeholders to understand evolving data and AI needs and define long-term technical solutions\nEnable and support machine learning and AI workflows, including feature engineering, data preparation, and model deployment support\nDrive strategic initiatives around Generative AI, data quality, observability, lineage, and governance\nDevelop and maintain frameworks that support rapid experimentation and deployment of AI/ML solutions\nIntroduce and evolve best practices in data modeling, orchestration, testing, and monitoring\nIdentify and champion opportunities for platform scalability, performance optimization, and cost efficiency\nCollaborate with product, analytics, and infrastructure teams to deliver high-impact data and AI solutions\nBuild and maintain reusable parsing, enrichment, analytic, and service libraries to accelerate delivery across teams\nWork comfortably under time-sensitive conditions while ensuring thoroughness\nMaintain high ethical standards and the ability to remain objective and confidential\nReviews the work of others\nDevelops innovative approaches\nSought out as expert\nServes as a leader/ mentor\nComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so\nRequired Qualifications:\nBachelor's degree or equivalent experience\n5+ years of experience designing, building, and operating production data pipelines and platforms\n5+ years of hands-on development with Python (preferred) and/or Java, including code reviews, packaging, and deployment\n5+ years of experience with Spark (PySpark) and Databricks (or similar distributed data processing platform)\n2+ years of experience leveraging and deploying Generative AI use cases to production environments\nCloud experience (AWS, Azure, and/or GCP), including secure handling of sensitive data (PII/PHI) and collaboration with compliance partners\nExperience building and operating production data platforms and pipelines across batch and streaming workloads\nExperience with distributed processing and lakehouse/warehouse patterns (eg, Spark/PySpark, Databricks, Snowflake, Microsoft Fabric)\nExperience building ingestion frameworks for structured and unstructured data, including event/log and semi-structured formats\nExperience enabling Generative AI solutions in production (eg, RAG-style architectures), including retrieval patterns and evaluation/monitoring practices\nExperience building ingestion frameworks for structured and unstructured data (e.g., event/log, semi-structured JSON), including parsing and enrichment patterns\nExperience designing and scaling ELT/ETL frameworks with orchestration tools such as Airflow (or equivalent)\nExperience implementing data quality, observability, and monitoring practices (e.g., data quality checks, pipeline SLAs/SLOs, alerting)\nExperience with metadata, lineage, and governance concepts and tooling (e.g., data catalogs, lineage, access controls)\nExperience with data modeling best practices for analytics and ML use cases\nExperience with DevOps and CI/CD practices and tools (e.g., GitHub Actions), containerization, and infrastructure-as-code (e.g., Docker, Kubernetes, Terraform)\nExperience supporting ML/AI workflows (feature engineering, data preparation, and model deployment enablement); exposure to MLOps practices is a plus\nSolid SQL skills and experience working with data lakes and warehouses (e.g., Databricks, Snowflake)\nFamiliarity with knowledge-centric data approaches (eg, metadata-driven systems, entity resolution, and/or graph concepts) to improve discoverability and downstream analytics\nSolid data quality, observability, and monitoring mindset (profiling, validation, alerting, and reliability improvements)\nComfort with orchestration, CI/CD, containerization, and infrastructure-as-code (eg, Airflow, GitHub Actions, Docker, Terraform, Kubernetes)\nDemonstrated ability to lead through influence, mentor engineers, and translate ambiguous problems into scalable technical roadmaps\nDemonstrated ability to partner with cross-functional stakeholders, translate requirements into technical solutions, and lead through influence\nPreferred Qualifications:\nSolid hands-on engineering in Python and SQL; familiarity with JVM languages (Java/Scala) in Spark ecosystems \nExperience with cloud platforms such as AWS, Azure, or Google Cloud, including managed data services\nExperience with streaming and event-driven architectures (e.g., Kafka, Kinesis, Event Hubs)\nExperience with data quality and validation frameworks (e.g., Great Expectations, Deequ) and/or data observability tooling\nExperience enabling MLOps practices (e.g., feature stores, model registries, experiment tracking, deployment automation)\nExperience with lakehouse architectures, Delta Lake, and advanced Spark optimization/performance tuning\nExperience with data visualization tools and libraries\nExperience with machine learning and predictive analytics\nFamiliarity with security and privacy concepts for data platforms (e.g., least privilege, PII/PHI handling) and working with compliance partners\nAt UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.","description_format":"text","description_chars":8285,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Hospitals & Health Systems","Pharmacies"],"lifecycle":[{"event":"open","at":"2026-10-02T20:32:55Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.544,"p_room":0.55,"age_days":34,"expected_fill_days":26,"reasons":["conf:2","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/unitedhealth-group-principal-data-engineer-4","json_url":"https://alion.io/job/unitedhealth-group-principal-data-engineer-4.json","meta":{"generated_at":"2026-11-02T10:40:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14760,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1043512},"rest":"https://alion.io/mcp/rest/get_company?id=1043512"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funitedhealth-group-principal-data-engineer-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Funitedhealth-group-principal-data-engineer-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Funitedhealth-group-principal-data-engineer-4"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/unitedhealth-group-principal-data-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funitedhealth-group-principal-data-engineer-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1721566}},{"tool":"search_jobs","arguments":{"company":"unitedhealthgroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1721566},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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